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Materials and Methods: We used two peripheral blood DNA methylation datasets: an HNSCC case-control dataset (n= 183) and an HNSCC survival dataset (n= 407) to estimate mdSI indices. We then performed multivariate regressions to test the association between mdSI indices, HNSCC development and OS.
Results: Multivariate logistic regression revealed that elevated mdNLR was associated with increased odds of being an HNSCC case (OR=3.25, 95%CI = 2.14-5.34, P = 4x10-7) while the converse was observed for mdLMR (OR=0.88, 95%CI = 0.81-0.90, P = 2x10-3). In the HNSCC survival dataset, HPV16-E6 seropositive HNSCC cases had an elevated mdLMR (P = 9 x 10-5) and a lower mdNLR (P = 0.003) compared to seronegative patients. Multivariate Cox regression in the HNSCC survival dataset revealed that lower mdLMR (HR= 1.96, 95%CI =1.30-2.95, P = 0.0013) but not lower mdNLR (HR= 0.68, 95%CI = 0.46-1.00, P = 0.0501) was associated with increased risk of death.
Conclusion: Our results indicate that mdSI estimated by DNA methylation data is associated with the presence of HNSCC and overall survival. The mdSI indices may be used as a valuable research tool to reliably estimate SI in the absence of cell-based estimates. Rigorous validation of our findings in large prospective studies is warranted in the future.
|Number of pages||8|
|Early online date||5 Sep 2018|
|Publication status||Published - 1 Oct 2018|
- DNA methylation
- Head and neck cancer
- Lymphocyte-to-monocyte ratio
- Neutrophil-to-lymphocyte ratio
- Overall survival
- Systemic inflammation